{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd \n",
    "import geopandas as gpd \n",
    "import matplotlib.pyplot as plt\n",
    "from shapely.geometry import Polygon"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### geopandas数据类型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "fpath = r'D:\\Python\\Code\\Study2022\\交通大数据demo\\pygeo-tutorial\\shapefile\\sz.shp'\n",
    "sz =gpd.GeoDataFrame.from_file(filename=fpath,encoding='utf-8')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 类似pandas，多了一列geometry 用于记录面信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>centroid_x</th>\n",
       "      <th>centroid_y</th>\n",
       "      <th>qh</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>114.143157</td>\n",
       "      <td>22.577605</td>\n",
       "      <td>罗湖</td>\n",
       "      <td>POLYGON ((114.10006 22.53431, 114.09969 22.535...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>114.041535</td>\n",
       "      <td>22.546180</td>\n",
       "      <td>福田</td>\n",
       "      <td>POLYGON ((113.98578 22.51348, 113.98558 22.523...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>114.270206</td>\n",
       "      <td>22.596432</td>\n",
       "      <td>盐田</td>\n",
       "      <td>POLYGON ((114.22772 22.54290, 114.22643 22.543...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>113.851387</td>\n",
       "      <td>22.679120</td>\n",
       "      <td>宝安</td>\n",
       "      <td>MULTIPOLYGON (((113.81831 22.54676, 113.81816 ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>113.926290</td>\n",
       "      <td>22.766157</td>\n",
       "      <td>光明</td>\n",
       "      <td>POLYGON ((113.98587 22.80304, 113.98605 22.802...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>114.356936</td>\n",
       "      <td>22.691020</td>\n",
       "      <td>坪山</td>\n",
       "      <td>POLYGON ((114.42581 22.66510, 114.42470 22.664...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>114.029687</td>\n",
       "      <td>22.686910</td>\n",
       "      <td>龙华</td>\n",
       "      <td>POLYGON ((114.10825 22.72368, 114.10785 22.723...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>113.930714</td>\n",
       "      <td>22.544103</td>\n",
       "      <td>南山</td>\n",
       "      <td>MULTIPOLYGON (((113.81491 22.39929, 113.80914 ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>114.502205</td>\n",
       "      <td>22.571337</td>\n",
       "      <td>大鹏</td>\n",
       "      <td>POLYGON ((114.33439 22.62610, 114.33450 22.626...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>114.206790</td>\n",
       "      <td>22.695694</td>\n",
       "      <td>龙岗</td>\n",
       "      <td>POLYGON ((114.06646 22.59544, 114.06635 22.595...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   centroid_x  centroid_y  qh  \\\n",
       "0  114.143157   22.577605  罗湖   \n",
       "1  114.041535   22.546180  福田   \n",
       "2  114.270206   22.596432  盐田   \n",
       "3  113.851387   22.679120  宝安   \n",
       "4  113.926290   22.766157  光明   \n",
       "5  114.356936   22.691020  坪山   \n",
       "6  114.029687   22.686910  龙华   \n",
       "7  113.930714   22.544103  南山   \n",
       "8  114.502205   22.571337  大鹏   \n",
       "9  114.206790   22.695694  龙岗   \n",
       "\n",
       "                                            geometry  \n",
       "0  POLYGON ((114.10006 22.53431, 114.09969 22.535...  \n",
       "1  POLYGON ((113.98578 22.51348, 113.98558 22.523...  \n",
       "2  POLYGON ((114.22772 22.54290, 114.22643 22.543...  \n",
       "3  MULTIPOLYGON (((113.81831 22.54676, 113.81816 ...  \n",
       "4  POLYGON ((113.98587 22.80304, 113.98605 22.802...  \n",
       "5  POLYGON ((114.42581 22.66510, 114.42470 22.664...  \n",
       "6  POLYGON ((114.10825 22.72368, 114.10785 22.723...  \n",
       "7  MULTIPOLYGON (((113.81491 22.39929, 113.80914 ...  \n",
       "8  POLYGON ((114.33439 22.62610, 114.33450 22.626...  \n",
       "9  POLYGON ((114.06646 22.59544, 114.06635 22.595...  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sz "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sz.plot() # plot 可以直接将深圳区域画出来"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<shapely.geometry.polygon.Polygon at 0x2635de35040>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sz['geometry'][0] #可以画某个部分的"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 栅格化研究区域\n",
    "- 先定研究区域的经纬度，矢量化一个矩形栅格\n",
    "- 再将矩形栅格与研究区域求交集\n",
    "- 得到研究区域的栅格"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(51.0,\n",
       " 12.0,\n",
       " 113.99800701150498,\n",
       " 22.499547959873865,\n",
       " 0.004872614089207591,\n",
       " 0.004496605206422906)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#栅格化代码\n",
    "import math\n",
    "#定义一个测试栅格划的经纬度\n",
    "testlon = 114\n",
    "testlat = 22.5\n",
    "\n",
    "#划定栅格划分范围\n",
    "lon1 = 113.75194\n",
    "lon2 = 114.624187\n",
    "lat1 = 22.447837\n",
    "lat2 = 22.864748\n",
    "\n",
    "latStart = min(lat1, lat2);\n",
    "lonStart = min(lon1, lon2);\n",
    "\n",
    "#定义栅格大小(单位m)\n",
    "accuracy = 500;\n",
    "\n",
    "#计算栅格的经纬度增加量大小▲Lon和▲Lat\n",
    "deltaLon = accuracy * 360 / (2 * math.pi * 6371004 * math.cos((lat1 + lat2) * math.pi / 360));\n",
    "deltaLat = accuracy * 360 / (2 * math.pi * 6371004);\n",
    "\n",
    "#计算栅格的经纬度编号\n",
    "LONCOL=divmod(float(testlon) - (lonStart - deltaLon / 2) , deltaLon)[0]\n",
    "LATCOL=divmod(float(testlat) - (latStart - deltaLat / 2) , deltaLat)[0]\n",
    "\n",
    "#计算栅格的中心点经纬度\n",
    "HBLON = LONCOL*deltaLon + (lonStart - deltaLon / 2)#格子编号*格子宽+起始横坐标-半个格子宽=格子中心横坐标\n",
    "HBLAT = LATCOL*deltaLat + (latStart - deltaLat / 2)\n",
    "\n",
    "#把算好的东西print出来看看\n",
    "LONCOL,LATCOL,HBLON,HBLAT,deltaLon,deltaLat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import geopandas\n",
    "from shapely.geometry import Polygon\n",
    "import math\n",
    "\n",
    "def divgrid(zoom,delt): #zoom:研究范围[lon1,lon2,lat1,lat2]  delt:栅格单位m\n",
    "    #划定栅格划分范围\n",
    "    lon1,lon2 = zoom[0],zoom[1]\n",
    "    lat1,lat2 = zoom[2],zoom[3]\n",
    "\n",
    "\n",
    "    latStart = min(lat1, lat2)\n",
    "    lonStart = min(lon1, lon2)\n",
    "\n",
    "    #定义栅格大小(单位m)\n",
    "    accuracy = delt\n",
    "\n",
    "    #计算栅格的经纬度增加量大小▲Lon和▲Lat\n",
    "    deltaLon = accuracy * 360 / (2 * math.pi * 6371004 * math.cos((lat1 + lat2) * math.pi / 360))\n",
    "    deltaLat = accuracy * 360 / (2 * math.pi * 6371004)\n",
    "\n",
    "\n",
    "    #定义空的geopandas表\n",
    "    data = geopandas.GeoDataFrame()\n",
    "\n",
    "    #定义空的list，后面循环一次就往里面加东西\n",
    "    LONCOL = []\n",
    "    LATCOL = []\n",
    "    geometry = []\n",
    "    HBLON1 = []\n",
    "    HBLAT1 = []\n",
    "\n",
    "    #计算总共要生成多少个栅格\n",
    "    #lon方向是lonsnum个栅格\n",
    "    lonsnum = int((lon2-lon1)/deltaLon)+1\n",
    "    #lat方向是latsnum个栅格\n",
    "    latsnum = int((lat2-lat1)/deltaLat)+1\n",
    "\n",
    "    for i in range(lonsnum):\n",
    "        for j in range(latsnum):\n",
    "\n",
    "            HBLON = i*deltaLon + (lonStart - deltaLon / 2)\n",
    "            HBLAT = j*deltaLat + (latStart - deltaLat / 2)\n",
    "            #把生成的数据都加入到前面定义的空list里面\n",
    "            LONCOL.append(i)\n",
    "            LATCOL.append(j)\n",
    "            HBLON1.append(HBLON)\n",
    "            HBLAT1.append(HBLAT)\n",
    "            \n",
    "            #生成栅格的Polygon形状\n",
    "            #这里我们用周围的栅格推算三个顶点的位置，否则生成的栅格因为小数点取值的问题会出现小缝，无法完美覆盖\n",
    "            HBLON_1 = (i+1)*deltaLon + (lonStart - deltaLon / 2)\n",
    "            HBLAT_1 = (j+1)*deltaLat + (latStart - deltaLat / 2)\n",
    "            geometry.append(Polygon([\n",
    "            (HBLON-deltaLon/2,HBLAT-deltaLat/2),\n",
    "            (HBLON_1-deltaLon/2,HBLAT-deltaLat/2),\n",
    "            (HBLON_1-deltaLon/2,HBLAT_1-deltaLat/2),\n",
    "            (HBLON-deltaLon/2,HBLAT_1-deltaLat/2)]))\n",
    "            \n",
    "    #为geopandas文件的每一列赋值为刚刚的list\n",
    "    data['LONCOL'] = LONCOL\n",
    "    data['LATCOL'] = LATCOL\n",
    "    data['HBLON'] = HBLON1\n",
    "    data['HBLAT'] = HBLAT1\n",
    "    data['geometry'] = geometry\n",
    "    return data\n",
    "#data.plot()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "zoom = [113.75194,114.624187,22.447837,22.864748]\n",
    "delt = 500\n",
    "data = divgrid(zoom,delt)\n",
    "data.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "grid_sz = data[data.intersects(sz.unary_union)] #unary_union 类似于合并图层，将多个市区 合并成一个政体\n",
    "grid_sz.plot()\n",
    "#保存\n",
    "#grid_sz.to_file(r'D:\\Python\\Code\\Study2022\\交通大数据\\py交通\\shapefile\\sz_grid',encoding = 'utf-8')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 读取出租车数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>VehicleNum</th>\n",
       "      <th>Stime</th>\n",
       "      <th>SLng</th>\n",
       "      <th>SLat</th>\n",
       "      <th>ELng</th>\n",
       "      <th>ELat</th>\n",
       "      <th>Etime</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>22223</td>\n",
       "      <td>00:03:23</td>\n",
       "      <td>114.167465</td>\n",
       "      <td>22.562468</td>\n",
       "      <td>114.225235</td>\n",
       "      <td>22.552750</td>\n",
       "      <td>00:10:48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>22223</td>\n",
       "      <td>00:11:33</td>\n",
       "      <td>114.227150</td>\n",
       "      <td>22.554167</td>\n",
       "      <td>114.229218</td>\n",
       "      <td>22.560217</td>\n",
       "      <td>00:15:19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>22223</td>\n",
       "      <td>00:17:13</td>\n",
       "      <td>114.231354</td>\n",
       "      <td>22.562166</td>\n",
       "      <td>114.255798</td>\n",
       "      <td>22.590967</td>\n",
       "      <td>00:29:06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>22223</td>\n",
       "      <td>00:36:45</td>\n",
       "      <td>114.240196</td>\n",
       "      <td>22.563650</td>\n",
       "      <td>114.119965</td>\n",
       "      <td>22.566668</td>\n",
       "      <td>00:54:42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>22223</td>\n",
       "      <td>01:01:14</td>\n",
       "      <td>114.135414</td>\n",
       "      <td>22.575933</td>\n",
       "      <td>114.166748</td>\n",
       "      <td>22.608267</td>\n",
       "      <td>01:08:17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>464713</th>\n",
       "      <td>36947</td>\n",
       "      <td>22:39:12</td>\n",
       "      <td>114.005547</td>\n",
       "      <td>22.548067</td>\n",
       "      <td>113.996330</td>\n",
       "      <td>22.537083</td>\n",
       "      <td>22:46:25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>464714</th>\n",
       "      <td>36947</td>\n",
       "      <td>22:49:38</td>\n",
       "      <td>113.994598</td>\n",
       "      <td>22.535049</td>\n",
       "      <td>113.922485</td>\n",
       "      <td>22.496550</td>\n",
       "      <td>23:13:15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>464715</th>\n",
       "      <td>36947</td>\n",
       "      <td>23:24:24</td>\n",
       "      <td>113.921082</td>\n",
       "      <td>22.513483</td>\n",
       "      <td>113.929817</td>\n",
       "      <td>22.494217</td>\n",
       "      <td>23:30:32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>464716</th>\n",
       "      <td>36947</td>\n",
       "      <td>23:37:09</td>\n",
       "      <td>113.927635</td>\n",
       "      <td>22.512568</td>\n",
       "      <td>113.910965</td>\n",
       "      <td>22.487867</td>\n",
       "      <td>23:49:10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>464717</th>\n",
       "      <td>36947</td>\n",
       "      <td>23:52:18</td>\n",
       "      <td>113.910500</td>\n",
       "      <td>22.487583</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>464718 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        VehicleNum     Stime        SLng       SLat        ELng       ELat  \\\n",
       "0            22223  00:03:23  114.167465  22.562468  114.225235  22.552750   \n",
       "1            22223  00:11:33  114.227150  22.554167  114.229218  22.560217   \n",
       "2            22223  00:17:13  114.231354  22.562166  114.255798  22.590967   \n",
       "3            22223  00:36:45  114.240196  22.563650  114.119965  22.566668   \n",
       "4            22223  01:01:14  114.135414  22.575933  114.166748  22.608267   \n",
       "...            ...       ...         ...        ...         ...        ...   \n",
       "464713       36947  22:39:12  114.005547  22.548067  113.996330  22.537083   \n",
       "464714       36947  22:49:38  113.994598  22.535049  113.922485  22.496550   \n",
       "464715       36947  23:24:24  113.921082  22.513483  113.929817  22.494217   \n",
       "464716       36947  23:37:09  113.927635  22.512568  113.910965  22.487867   \n",
       "464717       36947  23:52:18  113.910500  22.487583         NaN        NaN   \n",
       "\n",
       "           Etime  \n",
       "0       00:10:48  \n",
       "1       00:15:19  \n",
       "2       00:29:06  \n",
       "3       00:54:42  \n",
       "4       01:08:17  \n",
       "...          ...  \n",
       "464713  22:46:25  \n",
       "464714  23:13:15  \n",
       "464715  23:30:32  \n",
       "464716  23:49:10  \n",
       "464717       NaN  \n",
       "\n",
       "[464718 rows x 7 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "TaxiOD = pd.read_csv(r'D:\\Python\\Code\\Study2022\\交通大数据demo\\pygeo-tutorial\\data-sample\\TaxiOD.csv')\n",
    "TaxiOD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Handuoduo\\AppData\\Local\\Temp\\ipykernel_1592\\464957596.py:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  TaxiOD['SLONCOL'] = ((TaxiOD['SLng'] - (lonStart - deltaLon / 2))/deltaLon).astype('int')\n",
      "C:\\Users\\Handuoduo\\AppData\\Local\\Temp\\ipykernel_1592\\464957596.py:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  TaxiOD['SLATCOL'] = ((TaxiOD['SLat'] - (latStart - deltaLat / 2))/deltaLat).astype('int')\n",
      "C:\\Users\\Handuoduo\\AppData\\Local\\Temp\\ipykernel_1592\\464957596.py:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  TaxiOD['ELONCOL'] = ((TaxiOD['ELng'] - (lonStart - deltaLon / 2))/deltaLon).astype('int')\n",
      "C:\\Users\\Handuoduo\\AppData\\Local\\Temp\\ipykernel_1592\\464957596.py:6: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  TaxiOD['ELATCOL'] = ((TaxiOD['ELat'] - (latStart - deltaLat / 2))/deltaLat).astype('int')\n"
     ]
    }
   ],
   "source": [
    "TaxiOD = TaxiOD[-TaxiOD['ELng'].isnull()]  #删掉最后一行空的\n",
    "# 计算出租车起点终点所在的栅格位置\n",
    "TaxiOD['SLONCOL'] = ((TaxiOD['SLng'] - (lonStart - deltaLon / 2))/deltaLon).astype('int') \n",
    "TaxiOD['SLATCOL'] = ((TaxiOD['SLat'] - (latStart - deltaLat / 2))/deltaLat).astype('int')\n",
    "TaxiOD['ELONCOL'] = ((TaxiOD['ELng'] - (lonStart - deltaLon / 2))/deltaLon).astype('int')\n",
    "TaxiOD['ELATCOL'] = ((TaxiOD['ELat'] - (latStart - deltaLat / 2))/deltaLat).astype('int')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 同质化：起点和重点在同一个单元格内的"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
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       "      <th>VehicleNum</th>\n",
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       "      <th>SLat</th>\n",
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       "      <th>ELATCOL</th>\n",
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       "      <td>22223</td>\n",
       "      <td>00:11:33</td>\n",
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       "      <td>22.554167</td>\n",
       "      <td>114.229218</td>\n",
       "      <td>22.560217</td>\n",
       "      <td>00:15:19</td>\n",
       "      <td>98</td>\n",
       "      <td>24</td>\n",
       "      <td>98</td>\n",
       "      <td>25</td>\n",
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       "      <th>2</th>\n",
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       "      <td>00:17:13</td>\n",
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       "      <td>22.562166</td>\n",
       "      <td>114.255798</td>\n",
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       "      <td>103</td>\n",
       "      <td>32</td>\n",
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       "      <td>114.240196</td>\n",
       "      <td>22.563650</td>\n",
       "      <td>114.119965</td>\n",
       "      <td>22.566668</td>\n",
       "      <td>00:54:42</td>\n",
       "      <td>100</td>\n",
       "      <td>26</td>\n",
       "      <td>76</td>\n",
       "      <td>26</td>\n",
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       "      <th>4</th>\n",
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       "      <td>22.575933</td>\n",
       "      <td>114.166748</td>\n",
       "      <td>22.608267</td>\n",
       "      <td>01:08:17</td>\n",
       "      <td>79</td>\n",
       "      <td>28</td>\n",
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       "      <td>36</td>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <th>464712</th>\n",
       "      <td>36947</td>\n",
       "      <td>22:08:22</td>\n",
       "      <td>113.913734</td>\n",
       "      <td>22.531366</td>\n",
       "      <td>113.997284</td>\n",
       "      <td>22.545650</td>\n",
       "      <td>22:36:53</td>\n",
       "      <td>33</td>\n",
       "      <td>19</td>\n",
       "      <td>50</td>\n",
       "      <td>22</td>\n",
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       "    <tr>\n",
       "      <th>464713</th>\n",
       "      <td>36947</td>\n",
       "      <td>22:39:12</td>\n",
       "      <td>114.005547</td>\n",
       "      <td>22.548067</td>\n",
       "      <td>113.996330</td>\n",
       "      <td>22.537083</td>\n",
       "      <td>22:46:25</td>\n",
       "      <td>52</td>\n",
       "      <td>22</td>\n",
       "      <td>50</td>\n",
       "      <td>20</td>\n",
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       "    <tr>\n",
       "      <th>464714</th>\n",
       "      <td>36947</td>\n",
       "      <td>22:49:38</td>\n",
       "      <td>113.994598</td>\n",
       "      <td>22.535049</td>\n",
       "      <td>113.922485</td>\n",
       "      <td>22.496550</td>\n",
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       "      <td>50</td>\n",
       "      <td>19</td>\n",
       "      <td>35</td>\n",
       "      <td>11</td>\n",
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       "      <td>113.921082</td>\n",
       "      <td>22.513483</td>\n",
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       "      <td>36</td>\n",
       "      <td>14</td>\n",
       "      <td>33</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>456373 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        VehicleNum     Stime        SLng       SLat        ELng       ELat  \\\n",
       "0            22223  00:03:23  114.167465  22.562468  114.225235  22.552750   \n",
       "1            22223  00:11:33  114.227150  22.554167  114.229218  22.560217   \n",
       "2            22223  00:17:13  114.231354  22.562166  114.255798  22.590967   \n",
       "3            22223  00:36:45  114.240196  22.563650  114.119965  22.566668   \n",
       "4            22223  01:01:14  114.135414  22.575933  114.166748  22.608267   \n",
       "...            ...       ...         ...        ...         ...        ...   \n",
       "464712       36947  22:08:22  113.913734  22.531366  113.997284  22.545650   \n",
       "464713       36947  22:39:12  114.005547  22.548067  113.996330  22.537083   \n",
       "464714       36947  22:49:38  113.994598  22.535049  113.922485  22.496550   \n",
       "464715       36947  23:24:24  113.921082  22.513483  113.929817  22.494217   \n",
       "464716       36947  23:37:09  113.927635  22.512568  113.910965  22.487867   \n",
       "\n",
       "           Etime  SLONCOL  SLATCOL  ELONCOL  ELATCOL  \n",
       "0       00:10:48       85       25       97       23  \n",
       "1       00:15:19       98       24       98       25  \n",
       "2       00:29:06       98       25      103       32  \n",
       "3       00:54:42      100       26       76       26  \n",
       "4       01:08:17       79       28       85       36  \n",
       "...          ...      ...      ...      ...      ...  \n",
       "464712  22:36:53       33       19       50       22  \n",
       "464713  22:46:25       52       22       50       20  \n",
       "464714  23:13:15       50       19       35       11  \n",
       "464715  23:30:32       35       15       37       10  \n",
       "464716  23:49:10       36       14       33        9  \n",
       "\n",
       "[456373 rows x 11 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "TaxiOD_1 = TaxiOD[-((TaxiOD['ELONCOL'] == TaxiOD['SLONCOL']) & (TaxiOD['ELATCOL'] == TaxiOD['SLATCOL']))]\n",
    "TaxiOD_1 #去除内内交通量"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>120372</td>\n",
       "      <td>75420</td>\n",
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       "      <td>38</td>\n",
       "      <td>1</td>\n",
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       "      <th>193714</th>\n",
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       "      <td>122425</td>\n",
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       "      <td>1</td>\n",
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       "      <th>193715</th>\n",
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       "      <td>145027</td>\n",
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       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>193716</th>\n",
       "      <td>145012</td>\n",
       "      <td>45138</td>\n",
       "      <td>145003</td>\n",
       "      <td>45171</td>\n",
       "      <td>1</td>\n",
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       "</table>\n",
       "<p>193717 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        SLONCOL  SLATCOL  ELONCOL  ELATCOL  COUNT\n",
       "0         -1272     -451       43       56      1\n",
       "1          -988     1236       73       37      1\n",
       "2          -678      287       75       22      1\n",
       "3          -605     -484       71       21      1\n",
       "4          -498      339       56       19      1\n",
       "...         ...      ...      ...      ...    ...\n",
       "193712   120372    74720   120372    74078      1\n",
       "193713   120372    75420       78       38      1\n",
       "193714   122425    74534   122425    73376      1\n",
       "193715   145003    45171   145027    45157      1\n",
       "193716   145012    45138   145003    45171      1\n",
       "\n",
       "[193717 rows x 5 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "TaxiOD_2 = TaxiOD_1.groupby(['SLONCOL','SLATCOL','ELONCOL','ELATCOL'])['VehicleNum'].count().rename('COUNT').reset_index() #按最后四列排列，并且按照VehicleNum计数\n",
    "TaxiOD_2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "lonsnum = int((zoom[1]-zoom[0])/deltaLon)+1\n",
    "#lat方向是latsnum个栅格\n",
    "latsnum = int((zoom[3]-zoom[2])/deltaLat)+1\n",
    "\n",
    "OD = TaxiOD_2[(TaxiOD_2['SLONCOL']>=0) & (TaxiOD_2['SLATCOL']>=0) &(TaxiOD_2['ELONCOL']>=0) & (TaxiOD_2['ELATCOL']>=0)&\n",
    "(TaxiOD_2['SLONCOL']<=lonsnum) & (TaxiOD_2['SLATCOL']<=latsnum) &(TaxiOD_2['ELONCOL']<=lonsnum) & (TaxiOD_2['ELATCOL']<=latsnum)]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
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       "      <th>193697</th>\n",
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       "      <td>156</td>\n",
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       "      <td>157</td>\n",
       "      <td>66</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193700</th>\n",
       "      <td>161</td>\n",
       "      <td>10</td>\n",
       "      <td>150</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193701</th>\n",
       "      <td>167</td>\n",
       "      <td>22</td>\n",
       "      <td>90</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>193455 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        SLONCOL  SLATCOL  ELONCOL  ELATCOL  COUNT\n",
       "84            0       72       33       20      1\n",
       "85            0       75       14       70      1\n",
       "86            0       81       19       64      1\n",
       "88            1       74       10       75      1\n",
       "89            1       77        5       78      1\n",
       "...         ...      ...      ...      ...    ...\n",
       "193697      155       33       75       22      1\n",
       "193698      156       66      153       66      1\n",
       "193699      160       65      157       66      1\n",
       "193700      161       10      150       27      1\n",
       "193701      167       22       90       24      1\n",
       "\n",
       "[193455 rows x 5 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "OD\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "#OD = OD.drop(['index','level_0'],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>ELATCOL</th>\n",
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       "      <th>193697</th>\n",
       "      <td>155</td>\n",
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       "      <td>75</td>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193698</th>\n",
       "      <td>156</td>\n",
       "      <td>66</td>\n",
       "      <td>153</td>\n",
       "      <td>66</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193699</th>\n",
       "      <td>160</td>\n",
       "      <td>65</td>\n",
       "      <td>157</td>\n",
       "      <td>66</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193700</th>\n",
       "      <td>161</td>\n",
       "      <td>10</td>\n",
       "      <td>150</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>193701</th>\n",
       "      <td>167</td>\n",
       "      <td>22</td>\n",
       "      <td>90</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>193455 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        SLONCOL  SLATCOL  ELONCOL  ELATCOL  COUNT\n",
       "84            0       72       33       20      1\n",
       "85            0       75       14       70      1\n",
       "86            0       81       19       64      1\n",
       "88            1       74       10       75      1\n",
       "89            1       77        5       78      1\n",
       "...         ...      ...      ...      ...    ...\n",
       "193697      155       33       75       22      1\n",
       "193698      156       66      153       66      1\n",
       "193699      160       65      157       66      1\n",
       "193700      161       10      150       27      1\n",
       "193701      167       22       90       24      1\n",
       "\n",
       "[193455 rows x 5 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "OD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Handuoduo\\AppData\\Local\\Temp\\ipykernel_1592\\4148414664.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  OD['SCLON'] = OD['SLONCOL']*deltaLon + (lonStart - deltaLon / 2)\n",
      "C:\\Users\\Handuoduo\\AppData\\Local\\Temp\\ipykernel_1592\\4148414664.py:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  OD['SCLAN'] = OD['SLATCOL']*deltaLat + (latStart - deltaLat / 2)\n",
      "C:\\Users\\Handuoduo\\AppData\\Local\\Temp\\ipykernel_1592\\4148414664.py:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  OD['ECLON'] = OD['ELONCOL']*deltaLon + (lonStart - deltaLon / 2)\n",
      "C:\\Users\\Handuoduo\\AppData\\Local\\Temp\\ipykernel_1592\\4148414664.py:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  OD['ECLAN'] = OD['ELATCOL']*deltaLat + (latStart - deltaLat / 2)\n"
     ]
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       "    <tr>\n",
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       "      <td>167</td>\n",
       "      <td>22</td>\n",
       "      <td>90</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
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       "      <td>22.544514</td>\n",
       "      <td>114.188039</td>\n",
       "      <td>22.553507</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>193455 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        SLONCOL  SLATCOL  ELONCOL  ELATCOL  COUNT       SCLON      SCLAN  \\\n",
       "84            0       72       33       20      1  113.749504  22.769344   \n",
       "85            0       75       14       70      1  113.749504  22.782834   \n",
       "86            0       81       19       64      1  113.749504  22.809814   \n",
       "88            1       74       10       75      1  113.754376  22.778337   \n",
       "89            1       77        5       78      1  113.754376  22.791827   \n",
       "...         ...      ...      ...      ...    ...         ...        ...   \n",
       "193697      155       33       75       22      1  114.504759  22.593977   \n",
       "193698      156       66      153       66      1  114.509631  22.742365   \n",
       "193699      160       65      157       66      1  114.529122  22.737868   \n",
       "193700      161       10      150       27      1  114.533995  22.490555   \n",
       "193701      167       22       90       24      1  114.563230  22.544514   \n",
       "\n",
       "             ECLON      ECLAN  \n",
       "84      113.910300  22.535521  \n",
       "85      113.817720  22.760351  \n",
       "86      113.842083  22.733371  \n",
       "88      113.798230  22.782834  \n",
       "89      113.773867  22.796324  \n",
       "...            ...        ...  \n",
       "193697  114.114950  22.544514  \n",
       "193698  114.495014  22.742365  \n",
       "193699  114.514504  22.742365  \n",
       "193700  114.480396  22.566997  \n",
       "193701  114.188039  22.553507  \n",
       "\n",
       "[193455 rows x 9 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 计算栅格中心经纬度\n",
    "OD['SCLON'] = OD['SLONCOL']*deltaLon + (lonStart - deltaLon / 2)\n",
    "OD['SCLAN'] = OD['SLATCOL']*deltaLat + (latStart - deltaLat / 2)\n",
    "OD['ECLON'] = OD['ELONCOL']*deltaLon + (lonStart - deltaLon / 2)\n",
    "OD['ECLAN'] = OD['ELATCOL']*deltaLat + (latStart - deltaLat / 2)\n",
    "OD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
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       "                                            geometry\n",
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    "sz_all = gpd.GeoDataFrame()\n",
    "sz_all['geometry'] = [sz.unary_union]\n",
    "sz_all"
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  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
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       "      <td>114.046733</td>\n",
       "      <td>22.544514</td>\n",
       "      <td>113.807975</td>\n",
       "      <td>22.625453</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104648</th>\n",
       "      <td>61</td>\n",
       "      <td>21</td>\n",
       "      <td>64</td>\n",
       "      <td>16</td>\n",
       "      <td>11</td>\n",
       "      <td>114.046733</td>\n",
       "      <td>22.540017</td>\n",
       "      <td>114.061351</td>\n",
       "      <td>22.517534</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104602</th>\n",
       "      <td>61</td>\n",
       "      <td>21</td>\n",
       "      <td>61</td>\n",
       "      <td>17</td>\n",
       "      <td>11</td>\n",
       "      <td>114.046733</td>\n",
       "      <td>22.540017</td>\n",
       "      <td>114.046733</td>\n",
       "      <td>22.522031</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122821</th>\n",
       "      <td>65</td>\n",
       "      <td>17</td>\n",
       "      <td>63</td>\n",
       "      <td>18</td>\n",
       "      <td>172</td>\n",
       "      <td>114.066224</td>\n",
       "      <td>22.522031</td>\n",
       "      <td>114.056478</td>\n",
       "      <td>22.526528</td>\n",
       "      <td>0.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160508</th>\n",
       "      <td>76</td>\n",
       "      <td>21</td>\n",
       "      <td>74</td>\n",
       "      <td>19</td>\n",
       "      <td>173</td>\n",
       "      <td>114.119822</td>\n",
       "      <td>22.540017</td>\n",
       "      <td>114.110077</td>\n",
       "      <td>22.531024</td>\n",
       "      <td>0.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114013</th>\n",
       "      <td>63</td>\n",
       "      <td>18</td>\n",
       "      <td>65</td>\n",
       "      <td>16</td>\n",
       "      <td>235</td>\n",
       "      <td>114.056478</td>\n",
       "      <td>22.526528</td>\n",
       "      <td>114.066224</td>\n",
       "      <td>22.517534</td>\n",
       "      <td>0.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155247</th>\n",
       "      <td>75</td>\n",
       "      <td>21</td>\n",
       "      <td>74</td>\n",
       "      <td>19</td>\n",
       "      <td>275</td>\n",
       "      <td>114.114950</td>\n",
       "      <td>22.540017</td>\n",
       "      <td>114.110077</td>\n",
       "      <td>22.531024</td>\n",
       "      <td>0.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113570</th>\n",
       "      <td>63</td>\n",
       "      <td>17</td>\n",
       "      <td>65</td>\n",
       "      <td>16</td>\n",
       "      <td>298</td>\n",
       "      <td>114.056478</td>\n",
       "      <td>22.522031</td>\n",
       "      <td>114.066224</td>\n",
       "      <td>22.517534</td>\n",
       "      <td>0.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5319 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        SLONCOL  SLATCOL  ELONCOL  ELATCOL  COUNT       SCLON      SCLAN  \\\n",
       "1065         12       40       12       39     11  113.807975  22.625453   \n",
       "104917       61       22       58       21     11  114.046733  22.544514   \n",
       "104808       61       22       12       40     11  114.046733  22.544514   \n",
       "104648       61       21       64       16     11  114.046733  22.540017   \n",
       "104602       61       21       61       17     11  114.046733  22.540017   \n",
       "...         ...      ...      ...      ...    ...         ...        ...   \n",
       "122821       65       17       63       18    172  114.066224  22.522031   \n",
       "160508       76       21       74       19    173  114.119822  22.540017   \n",
       "114013       63       18       65       16    235  114.056478  22.526528   \n",
       "155247       75       21       74       19    275  114.114950  22.540017   \n",
       "113570       63       17       65       16    298  114.056478  22.522031   \n",
       "\n",
       "             ECLON      ECLAN  linewidth  \n",
       "1065    113.807975  22.620956        0.1  \n",
       "104917  114.032115  22.540017        0.1  \n",
       "104808  113.807975  22.625453        0.1  \n",
       "104648  114.061351  22.517534        0.1  \n",
       "104602  114.046733  22.522031        0.1  \n",
       "...            ...        ...        ...  \n",
       "122821  114.056478  22.526528        0.9  \n",
       "160508  114.110077  22.531024        0.9  \n",
       "114013  114.066224  22.517534        0.9  \n",
       "155247  114.110077  22.531024        0.9  \n",
       "113570  114.066224  22.517534        0.9  \n",
       "\n",
       "[5319 rows x 10 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "OD_plot = OD[OD['COUNT']>10]\n",
    "OD_plot = OD_plot.sort_values(by='COUNT',ascending=True)\n",
    "step = 5\n",
    "OD_plot['linewidth'] = (np.array(range(len(OD_plot)))*step/len(OD_plot)).astype('int')/step+0.1\n",
    "OD_plot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 循环画法 （慢）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x1200 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib\n",
    "fig = plt.figure(1,(10,8),dpi=150)\n",
    "ax = plt.subplot()\n",
    "plt.sca(ax)\n",
    "grid_sz.plot(ax =ax,edgecolor = (0,0,0,0.8),facecolor = (0,0,0,0),linewidths=0.2)\n",
    "sz_all.plot(ax = ax,edgecolor = (0,0,0,1),facecolor = (0,0,0,0),linewidths=0.5)\n",
    "\n",
    "vmax = OD_plot['COUNT'].max()\n",
    "norm = matplotlib.colors.Normalize(vmin=0,vmax=vmax)\n",
    "cmapname = 'autumn_r'\n",
    "cmap = matplotlib.cm.get_cmap(cmapname)\n",
    "\n",
    "for i in range(len(OD_plot)):\n",
    "    r = OD_plot.iloc[i]\n",
    "    plt.plot([r['SCLON'],r['ECLON']],[r['SCLAN'],r['ECLAN']],linewidth = r['linewidth'],color=cmap(norm(r['COUNT'] )))\n",
    "    \n",
    "plt.axis('off')    \n",
    "\n",
    "#绘制假的colorbar，这是因为，我们画的OD是线，没办法直接画出来colorbar\n",
    "#所以我们在一个看不见的地方画了一个叫imshow的东西，他的范围是0到vmax\n",
    "#然后我们再对imshow添加colorbar\n",
    "plt.imshow([[0,vmax]], cmap=cmap)\n",
    "#设定colorbar的大小和位置\n",
    "cax = plt.axes([0.08, 0.4, 0.02, 0.3])\n",
    "plt.colorbar(cax=cax)\n",
    "\n",
    "#然后要把镜头调整回到深圳地图那，不然镜头就在imshow那里了\n",
    "\n",
    "\n",
    "ax.set_xlim(113.6,114.8)\n",
    "ax.set_ylim(22.4,22.9)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### geodata 内置画图(快)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "from shapely.geometry import LineString"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "OD_plot1= gpd.GeoDataFrame(OD_plot)\n",
    "OD_plot1['geometry'] = OD_plot1.apply(lambda r: LineString([[r['SCLON'],r['SCLAN']] , [r['ECLON'],r['ECLAN']] ]),axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x1200 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig     = plt.figure(1,(10,8),dpi = 150)    \n",
    "ax      = plt.subplot(111)\n",
    "plt.sca(ax)\n",
    "\n",
    "\n",
    "#绘制底图\n",
    "grid_sz.plot(ax =ax,edgecolor = (0,0,0,0.8),facecolor = (0,0,0,0),linewidths=0.2)\n",
    "sz_all.plot(ax = ax,edgecolor = (0,0,0,1),facecolor = (0,0,0,0),linewidths=0.5)\n",
    "#设置colormap的数据\n",
    "import matplotlib\n",
    "vmax = OD_plot1['COUNT'].max()\n",
    "cmapname = 'autumn_r'\n",
    "cmap = matplotlib.cm.get_cmap(cmapname)\n",
    "\n",
    "#绘制OD\n",
    "OD_plot1.plot(ax = ax,column = 'COUNT',vmax = vmax,vmin = 0,cmap = cmap,linewidth = OD_plot1['linewidth'])\n",
    "\n",
    "plt.axis('off')    \n",
    "plt.imshow([[0,vmax]], cmap=cmap)\n",
    "cax = plt.axes([0.08, 0.4, 0.02, 0.3])\n",
    "plt.colorbar(cax=cax)\n",
    "ax.set_xlim(113.6,114.8)\n",
    "ax.set_ylim(22.4,22.9)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 按起点集计分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SLONCOL</th>\n",
       "      <th>SLATCOL</th>\n",
       "      <th>ELONCOL</th>\n",
       "      <th>ELATCOL</th>\n",
       "      <th>COUNT</th>\n",
       "      <th>SCLON</th>\n",
       "      <th>SCLAN</th>\n",
       "      <th>ECLON</th>\n",
       "      <th>ECLAN</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>0</td>\n",
       "      <td>72</td>\n",
       "      <td>33</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>113.749504</td>\n",
       "      <td>22.769344</td>\n",
       "      <td>113.910300</td>\n",
       "      <td>22.535521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>0</td>\n",
       "      <td>75</td>\n",
       "      <td>14</td>\n",
       "      <td>70</td>\n",
       "      <td>1</td>\n",
       "      <td>113.749504</td>\n",
       "      <td>22.782834</td>\n",
       "      <td>113.817720</td>\n",
       "      <td>22.760351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>0</td>\n",
       "      <td>81</td>\n",
       "      <td>19</td>\n",
       "      <td>64</td>\n",
       "      <td>1</td>\n",
       "      <td>113.749504</td>\n",
       "      <td>22.809814</td>\n",
       "      <td>113.842083</td>\n",
       "      <td>22.733371</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>1</td>\n",
       "      <td>74</td>\n",
       "      <td>10</td>\n",
       "      <td>75</td>\n",
       "      <td>1</td>\n",
       "      <td>113.754376</td>\n",
       "      <td>22.778337</td>\n",
       "      <td>113.798230</td>\n",
       "      <td>22.782834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>1</td>\n",
       "      <td>77</td>\n",
       "      <td>5</td>\n",
       "      <td>78</td>\n",
       "      <td>1</td>\n",
       "      <td>113.754376</td>\n",
       "      <td>22.791827</td>\n",
       "      <td>113.773867</td>\n",
       "      <td>22.796324</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193697</th>\n",
       "      <td>155</td>\n",
       "      <td>33</td>\n",
       "      <td>75</td>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>114.504759</td>\n",
       "      <td>22.593977</td>\n",
       "      <td>114.114950</td>\n",
       "      <td>22.544514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193698</th>\n",
       "      <td>156</td>\n",
       "      <td>66</td>\n",
       "      <td>153</td>\n",
       "      <td>66</td>\n",
       "      <td>1</td>\n",
       "      <td>114.509631</td>\n",
       "      <td>22.742365</td>\n",
       "      <td>114.495014</td>\n",
       "      <td>22.742365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193699</th>\n",
       "      <td>160</td>\n",
       "      <td>65</td>\n",
       "      <td>157</td>\n",
       "      <td>66</td>\n",
       "      <td>1</td>\n",
       "      <td>114.529122</td>\n",
       "      <td>22.737868</td>\n",
       "      <td>114.514504</td>\n",
       "      <td>22.742365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193700</th>\n",
       "      <td>161</td>\n",
       "      <td>10</td>\n",
       "      <td>150</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>114.533995</td>\n",
       "      <td>22.490555</td>\n",
       "      <td>114.480396</td>\n",
       "      <td>22.566997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193701</th>\n",
       "      <td>167</td>\n",
       "      <td>22</td>\n",
       "      <td>90</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>114.563230</td>\n",
       "      <td>22.544514</td>\n",
       "      <td>114.188039</td>\n",
       "      <td>22.553507</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>193455 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        SLONCOL  SLATCOL  ELONCOL  ELATCOL  COUNT       SCLON      SCLAN  \\\n",
       "84            0       72       33       20      1  113.749504  22.769344   \n",
       "85            0       75       14       70      1  113.749504  22.782834   \n",
       "86            0       81       19       64      1  113.749504  22.809814   \n",
       "88            1       74       10       75      1  113.754376  22.778337   \n",
       "89            1       77        5       78      1  113.754376  22.791827   \n",
       "...         ...      ...      ...      ...    ...         ...        ...   \n",
       "193697      155       33       75       22      1  114.504759  22.593977   \n",
       "193698      156       66      153       66      1  114.509631  22.742365   \n",
       "193699      160       65      157       66      1  114.529122  22.737868   \n",
       "193700      161       10      150       27      1  114.533995  22.490555   \n",
       "193701      167       22       90       24      1  114.563230  22.544514   \n",
       "\n",
       "             ECLON      ECLAN  \n",
       "84      113.910300  22.535521  \n",
       "85      113.817720  22.760351  \n",
       "86      113.842083  22.733371  \n",
       "88      113.798230  22.782834  \n",
       "89      113.773867  22.796324  \n",
       "...            ...        ...  \n",
       "193697  114.114950  22.544514  \n",
       "193698  114.495014  22.742365  \n",
       "193699  114.514504  22.742365  \n",
       "193700  114.480396  22.566997  \n",
       "193701  114.188039  22.553507  \n",
       "\n",
       "[193455 rows x 9 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "OD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>3364</th>\n",
       "      <td>167</td>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>3365 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      SLONCOL  SLATCOL  COUNT\n",
       "0           0       72      1\n",
       "1           0       75      1\n",
       "2           0       81      1\n",
       "3           1       74      1\n",
       "4           1       77      1\n",
       "...       ...      ...    ...\n",
       "3360      155       33      1\n",
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       "3362      160       65      1\n",
       "3363      161       10      1\n",
       "3364      167       22      1\n",
       "\n",
       "[3365 rows x 3 columns]"
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     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "O_plot = OD.groupby(['SLONCOL','SLATCOL'])['COUNT'].sum().reset_index()\n",
    "O_plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
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       "       LONCOL  LATCOL       HBLON      HBLAT  \\\n",
       "54          0      54  113.749504  22.688405   \n",
       "55          0      55  113.749504  22.692902   \n",
       "56          0      56  113.749504  22.697399   \n",
       "57          0      57  113.749504  22.701895   \n",
       "58          0      58  113.749504  22.706392   \n",
       "...       ...     ...         ...        ...   \n",
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       "16666     179      19  114.621702  22.531024   \n",
       "\n",
       "                                                geometry  \n",
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       "56     POLYGON ((113.74707 22.69515, 113.75194 22.695...  \n",
       "57     POLYGON ((113.74707 22.69965, 113.75194 22.699...  \n",
       "58     POLYGON ((113.74707 22.70414, 113.75194 22.704...  \n",
       "...                                                  ...  \n",
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       "16663  POLYGON ((114.61927 22.51529, 114.62414 22.515...  \n",
       "16664  POLYGON ((114.61927 22.51978, 114.62414 22.519...  \n",
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       "16666  POLYGON ((114.61927 22.52878, 114.62414 22.528...  \n",
       "\n",
       "[9005 rows x 5 columns]"
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    "grid_sz"
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  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</table>\n",
       "<p>3365 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      LONCOL  LATCOL  COUNT\n",
       "0          0      72      1\n",
       "1          0      75      1\n",
       "2          0      81      1\n",
       "3          1      74      1\n",
       "4          1      77      1\n",
       "...      ...     ...    ...\n",
       "3360     155      33      1\n",
       "3361     156      66      1\n",
       "3362     160      65      1\n",
       "3363     161      10      1\n",
       "3364     167      22      1\n",
       "\n",
       "[3365 rows x 3 columns]"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "O_plot.columns = ['LONCOL','LATCOL','COUNT']\n",
    "O_plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
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       "      <td>150</td>\n",
       "      <td>26</td>\n",
       "      <td>114.480396</td>\n",
       "      <td>22.562500</td>\n",
       "      <td>POLYGON ((114.47796 22.56025, 114.48283 22.560...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3209</th>\n",
       "      <td>155</td>\n",
       "      <td>33</td>\n",
       "      <td>114.504759</td>\n",
       "      <td>22.593977</td>\n",
       "      <td>POLYGON ((114.50232 22.59173, 114.50720 22.591...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3210</th>\n",
       "      <td>161</td>\n",
       "      <td>10</td>\n",
       "      <td>114.533995</td>\n",
       "      <td>22.490555</td>\n",
       "      <td>POLYGON ((114.53156 22.48831, 114.53643 22.488...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3211</th>\n",
       "      <td>167</td>\n",
       "      <td>22</td>\n",
       "      <td>114.563230</td>\n",
       "      <td>22.544514</td>\n",
       "      <td>POLYGON ((114.56079 22.54227, 114.56567 22.542...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3212 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      LONCOL  LATCOL       HBLON      HBLAT  \\\n",
       "0          2      59  113.759249  22.710888   \n",
       "1          3      49  113.764122  22.665922   \n",
       "2          4      64  113.768994  22.733371   \n",
       "3          4      65  113.768994  22.737868   \n",
       "4          5      52  113.773867  22.679412   \n",
       "...      ...     ...         ...        ...   \n",
       "3207     149      23  114.475523  22.549011   \n",
       "3208     150      26  114.480396  22.562500   \n",
       "3209     155      33  114.504759  22.593977   \n",
       "3210     161      10  114.533995  22.490555   \n",
       "3211     167      22  114.563230  22.544514   \n",
       "\n",
       "                                               geometry  COUNT  \n",
       "0     POLYGON ((113.75681 22.70864, 113.76169 22.708...      1  \n",
       "1     POLYGON ((113.76169 22.66367, 113.76656 22.663...      1  \n",
       "2     POLYGON ((113.76656 22.73112, 113.77143 22.731...      1  \n",
       "3     POLYGON ((113.76656 22.73562, 113.77143 22.735...      1  \n",
       "4     POLYGON ((113.77143 22.67716, 113.77630 22.677...      1  \n",
       "...                                                 ...    ...  \n",
       "3207  POLYGON ((114.47309 22.54676, 114.47796 22.546...      1  \n",
       "3208  POLYGON ((114.47796 22.56025, 114.48283 22.560...      1  \n",
       "3209  POLYGON ((114.50232 22.59173, 114.50720 22.591...      1  \n",
       "3210  POLYGON ((114.53156 22.48831, 114.53643 22.488...      1  \n",
       "3211  POLYGON ((114.56079 22.54227, 114.56567 22.542...      1  \n",
       "\n",
       "[3212 rows x 6 columns]"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "OD_plt = pd.merge(grid_sz,O_plot,on=['LONCOL','LATCOL']) \n",
    "OD_plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x1200 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib\n",
    "\n",
    "fig     = plt.figure(1,(10,8),dpi = 150)    \n",
    "ax      = plt.subplot(111)\n",
    "plt.sca(ax)\n",
    "\n",
    "\n",
    "#绘制底图\n",
    "grid_sz.plot(ax =ax,edgecolor = (0,0,0,0.8),facecolor = (0,0,0,0),linewidths=0.05)\n",
    "sz_all.plot(ax = ax,edgecolor = (0,0,0,1),facecolor = (0,0,0,0),linewidths=0.5)\n",
    "\n",
    "\n",
    "#设置colormap的数据\n",
    "cmapname = 'autumn_r'\n",
    "cmap = matplotlib.cm.get_cmap(cmapname)\n",
    "vmax = OD_plt['COUNT'].max()\n",
    "\n",
    "#绘制OD\n",
    "\n",
    "OD_plt.plot(ax=ax,column='COUNT',vmax=vmax,vmin=0,cmap=cmap)\n",
    "\n",
    "#关闭坐标轴\n",
    "plt.axis('off')  \n",
    "\n",
    "#设置范围\n",
    "ax.set_xlim(113.6,114.8)\n",
    "ax.set_ylim(22.4,22.9)\n",
    "\n",
    "plt.imshow([[0,vmax]], cmap=cmap)\n",
    "\n",
    "#color bar 的大小，位置\n",
    "cax = plt.axes([0.08, 0.4, 0.02, 0.3])\n",
    "plt.colorbar(cax=cax)\n",
    "\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "4ce0e62306dd6a5716965d4519ada776f947e6dfc145b604b11307c10277ef29"
  },
  "kernelspec": {
   "display_name": "Python 3.9.6 64-bit",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.9"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
